As a Senior ASR Research Scientist, you will:
- Build, improve, and maintain Gong’s speech technology, working on speech recognition across multiple languages, diarization, and language identification.
- Develop downstream tasks, integrating transcription and LLMs to create cutting-edge products.
- Conduct hands-on research to advance real-time transcription, diarization, and other speech capabilities, ensuring robust, production-grade algorithms that drive business value.
- Develop and deploy ASR- and LLM-based products, optimizing models for real-world performance and scalability.
- Collaborate with Product and Engineering teams to shape Gong’s machine learning strategy.
- Mentor team members, fostering knowledge sharing and staying up to date with the latest ML advancements.
- Your work will impact thousands of businesses by enhancing the accuracy and intelligence of Gong’s speech understanding capabilities.
You should apply if you have:
- M.Sc. or Ph.D. in an exact sciences field, or 3+ years of industry experience in ASR research and production.
- Expertise in Speech Recognition research, particularly with Deep Learning-based methods such as Wav2vec, Whisper, and Transformers.
- Experience working with LLMs and projects at the intersection of speech recognition and NLP.
- Strong knowledge of machine learning disciplines and algorithms, with proven experience in delivering end-to-end algorithmic solutions, from research to production.
- Proficiency in Python and ML frameworks such as PyTorch, with a solid understanding of experiment design, data analysis, and performance evaluation.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
- Published papers in peer-reviewed journals or conferences related to statistics, machine learning, or neural networks (advantage)
*We operate in a flexible hybrid work model.